AI and automation
The work package aims to facilitate networking between researchers and clinical staff working with Artificial Intelligence (AI) and automation in all radiotherapy clinics in Denmark, as well as internationally.
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Introduction and aim
The work package aims to facilitate networking between researchers and clinical staff working with Artificial Intelligence (AI) and automation in all radiotherapy clinics in Denmark, as well as internationally. The work will be linked with the DESIRE data science infrastructure which will also serve as one platform for sharing AI solutions.
As AI is finding its way into all parts of the radiotherapy chain, it is important that we share knowledge and join forces to develop solutions that are robust and can be implemented to serve progress on a national level.
Background
The work package is a continuation of the previous work package “Treatment planning and automation”. One of the primary activities of this WP was to support national workshops for generating consensus guidelines and national data sets for auto-segmentation purposes. ## such workshops were successfully held, and the results are now forming the basis for future work within the current work package.
Automation and use of artificial intelligence is expected to be a cornerstone in technological development of radiotherapy in the coming years. Applications of AI are numerous, with the most mature presently being in image reconstruction and registration, image classification and segmentation, dose optimization and quality assurance. Automating these processes carries a potential to streamline workflows, allow for optimal use of resources, provide consistent and high-quality solution to complex tasks, and pave the way for increased personalization of treatment.
Projects
Current AI/automation research projects of a national/multiinstitutional nature include:
- DAHANCA FORWARD
- HARMONI
- DBCG RT Nation
- DBCG DL Nation
Activities to promote knowledge sharing and collaboration may include among other:
- National workshops on AI in radiotherapy (two have already been held in 2022 and 2023)
- Open source code repositories
- Open networking meetings
WP leaders
Christian Rønn Hansen, Stine Korreman
-
Carsten Brink
Professor, medical physics
Odense University Hospital -
Eva Samsøe
Head of Medical Physics, PhD
Zealand University Hospital, Næstved Sygehus -
Jimmi Søndergaard
Overlæge, PhD
Aalborg University Hospital -
Christian Rønn Hansen
Radiofysisk Laboratorium & DCPT
Odense University Hospital -
Anne Vestergaard
Hospitalsfysiker
Aarhus University Hospital -
Jesper Kallehauge
Ph.D.
Aarhus University Hospital -
Uffe Bernchou
Lektor i Medicinsk Fysik
Odense University Hospital -
Lone Hoffmann
PhD, clinical associate professor
Aarhus University Hospital -
Heidi S. Rønde
Hospitalsfysiker
Aarhus University Hospital -
Kenneth Jensen
MD, clinical associate professor
Aarhus University Hospital -
Stine Korreman
Professor
Aarhus University Hospital -
Ebbe Laugaard Lorenzen
Medical physicist, PhD
Odense University Hospital -
Laura Patricia Kaplan
Physicist, PhD
Zealand University Hospital, Næstved Sygehus -
Jintao Ren
Postdoc
Aarhus University Hospital , Aarhus University -
Raul Argota Perez
PhD, medical physicist
Herlev Hospital -
Nadine Vatterodt
Cand. Scient., PhD student
Aarhus University Hospital